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Database Admin

Listed
sickn33·vlatest·database·MIT

Automates SQL queries, schema modifications, backups, and performance tuning for various database systems.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add sickn33/agentic-awesome-skills --skill database-admin -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

sickn33

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned sickn33/antigravity-awesome-skills at 5a4cdd9df8.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
5a4cdd9df8
Manifest
skills/database-admin/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

database-admin

What it does

This skill enables AI agents to perform administrative tasks on databases, including managing connections, executing queries, and handling schema operations. It serves as a bridge between natural language instructions and low-level database management protocols.

When to use it

  • Automating routine maintenance tasks like vacuuming tables or updating statistics.
  • Generating and executing complex SQL queries based on high-level business requirements.
  • Managing user permissions and roles within the database environment.
  • Monitoring database health and retrieving performance metrics automatically.

Key capabilities

  • Database connection management
  • Query execution and result retrieval
  • Schema modification support
  • Administrative command handling

Example prompts

  • "Run a vacuum analyze on the 'sales' table to optimize performance."
  • "Create a new user named 'report_bot' with read-only access to the inventory schema."
  • "Fetch the total revenue for Q3 from the transactions table and format it as a summary."

Tips & gotchas

Ensure your AI agent has the necessary credentials and permissions before attempting administrative actions, as incorrect commands can lead to data loss. Always review generated SQL scripts in a sandbox environment before executing them against production databases.